Newsletter
Looking to get clear on the best AI happenings in London this month?
Here’s our pick. We like the ones that are a bit more creative, or human.
Hopefully you agree.
September 21-23, Hilton London, Syon Park
This enterprise-focused gathering centres on governing and scaling AI responsibly. The programme includes conference days on 21–22 September, with a Workshop Day and an AI Adoption & Literacy Focus Day on 23 September, addressing AI regulation, oversight, agent-based systems, data, security, risk and workforce transformation.
September 11-13, Southbank Centre, Belvedere Road, London, SE1 8XX
Explore how artists, digital innovation and AI are reshaping the world we live in at London’s newest celebration of art, imagination and technology. The future is in your hands at a three-day takeover packed with art, performance, music, free demos, debate, play and experimentation.
September 15, Cavendish Venues, 1 America Square, London EC3N 2LS
A one-day RE•WORK conference on the implementation of AI and machine learning across financial services. Sessions cover financial forecasting, fraud prevention, NLP, conversational AI, regulation, anti-money-laundering, banking and wealth management.
September 18-20, V&A South Kensington, Cromwell Road, London, SW7 2RL
Every year, Digital Design Weekend celebrates contemporary digital art and design cultures. This year’s edition explores how creative technologies are reshaping our relationships with ecology, care and community, while questioning our changing relationship with AI. Through installations, workshops, talks and demonstrations, artists and designers invite us to imagine more responsible and resilient digital futures.
September 11, Queen Elizabeth Hall, Southbank Centre
Composer and artist Holly Herndon presents work from more than a decade at the frontier of music and AI. The session includes material made with her human–AI ensemble, alongside work developed through choir and live-audience training processes; it is an especially compelling culture pick for readers interested in datasets, authorship and music.